Bug

Reporting
and Tracking
System
Analysis

Software Testing
MICROPROJECT
 MAHARASHTRA STATE BOARD OF TECHNICAL
EDUCATION

D.Y. PATIL POLYTECHNIC

Bug Reporting and Tracking System Analysis

Academic year: 2024-25

Subject: Software Testing Subject code: 22518

Course: Computer Engineering Course Code:CO5I

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 MAHARASHTRA STATE BOARD OF TECHNICAL
EDUCATION

Certificate

This is to certify that Mr. Omkar Chandrakant Jamdar Roll No: 54 of 5th Semester diploma
in Computer Engineering of Institute, D.Y. Patil Polytechnic (Instt.Code: 0996) has
completed the Micro-Project in course Software Testing (22518) for the academic year 2024-
2025 as prescribed in the curriculum.

Place: Ambi Enrollment No: 2209960090

Date: ……………………… Exam Seat No: …………

Subject Teacher Head of the Department Principal

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Sr.
No Index Page no

1 Introduction 4

2 Abstract 5

3 Technology used 6

4 System Overview 9

5 System Workflow 10

6 Implementation 12

7 Advantages and Disadvantages 14

8 Conclusion 15

9 Bibliography 16

10 Weekly Progress Report 17

11 Annexure II 18

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 ***Introduction***

This micro-project critically evaluates bug reporting and tracking systems,

focusing on their features, functionalities, and limitations. A comparative
analysis of JIRA, Trello, and TestRail reveals strengths and weaknesses in
usability, metrics, and integration capabilities. The study recommends selecting
and implementing effective bug-tracking systems and enhancing software
development quality assurance processes. The findings offer valuable insights
for software developers, testers, and project managers seeking to optimize
defect management workflows.

Tracking System is the system which enables to detect the bugs. It not merely detects the
bugs but provides complete information regarding bugs detected. Bug Tracking System
ensures the user of it who needs to know about a provides information regarding the
identified bug. Using this no bug will be unfixed in the developed application

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 ***Abstract***

This bug reporting and tracking systems, focus on their features, functionalities,
and limitations. A comparative analysis of JIRA, Trello, and TestRail reveals
strengths and weaknesses in usability, metrics, and integration capabilities. The
study recommends selecting and implementing effective bug tracking systems,
and enhancing software development quality assurance processes. The findings
offer valuable insights for software developers, testers, and project managers
seeking to optimize defect management workflows.

For many years, bug-tracking mechanisms is employed only in some of the large
software development houses. Most of the others never bothered with bug
tracking at all, and instead simply relied on shared lists and email to monitor the
status of defects. This procedure is error-prone and tends to cause those bugs
judged least significant by developers to be dropped or ignored.

Bug Tracking System is an ideal solution to track the bugs of a product, solution
or application. Bug Tracking System allows individuals or groups of developers
to keep track of outstanding bugs in their product effectively. This can also be
called as Defect Tracking System

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 ***Technologies Used:***

❖ Bug tracking tools: JIRA, Trello, TestRail, Bugzilla

Developed by Atlassian, Jira is one of the most popular bug-tracking and project-
management tools. Its robust capabilities extend beyond bug tracking to encompass
agile project management, customizable workflows, and seamless integration with
other development tools.

Jira has been used by more than 65,000 companies since it was created in 2002. It
includes tools such as Scrum and Kanban boards, timelines, and data-driven reports.
Jira also features thousands of apps and integrations.

The versatility of Jira makes it a go-to choice for DevOps teams and those following
agile methodologies by offering real-time collaboration and detailed reporting for
enhanced visibility into the testing process.

❖ Programming languages: Python, Java, JavaScript

JavaScript is a versatile programming language that is widely used for front-end

web development. It allows you to create interactive and dynamic user interfaces, and
it is the language of the web.

Python is a general-purpose programming language that is often used for data

science and machine learning. Its simple and easy-to-learn syntax makes it a popular
choice for beginners.

Java is a general-purpose programming language that is used in a wide variety of

applications, from enterprise software development to Android app development. Its
cross-platform compatibility and automatic memory management make it a popular
choice for large-scale, enterprise-level applications.

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❖ Testing frameworks: Selenium, Pytest, Unittest

Selenium is an open-source, automated testing tool used to test web applications

across various browsers. It’s primarily built in Java and supports several browsers and
programming languages.

PyTest is another popular open-source test automation framework for testing Python-
based applications. Although PyTest supports all types of testing, it is primarily used
for API and complex functional testing. PyTest makes it easy to test databases, UIs,
and APIs with its intuitive syntax. It is also capable of running parallel tests. With
features such as assert rewriting and flexibility to integrate with third-party plugins,
popular projects like Dropbox and Mozilla have chosen to switch from UnitTest to
PyTest.

PyUnit or UnitTest is a standard test automation framework for unit testing that comes
bundled with Python. This framework was originally influenced by Junit. In PyUnit,
the base class TestCase provides all assertion methods as well as the cleanup and
setup routines. It is also capable of generating XML reports similar to those in Junit
using the UnitTest-xml-reporting test runner. QAs can also use the load methods and
TestSuite class for grouping and loading the tests.

❖ Data analysis tools: Excel, Tableau, Power BI

Analyze Data in Excel empowers you to understand your data through natural
language queries that allow you to ask questions about your data without having to
write complicated formulas. In addition, Analyze Data provides high-level visual
summaries, trends, and patterns

Tableau is a visual analytics platform transforming the way we use data to solve
problems—empowering people and organizations to make the most of their data.

Microsoft Power BI is a data visualization platform used primarily for business

intelligence purposes. Power BI stands for Power Business Intelligence and refers to a
set of software tools and connectors that help you transform data from multiple
sources into actionable insights.

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❖ Version control systems: Git, SVN

Git is a distributed version control system. In this type of VCS, a project contributor
creates a local repository that is a full clone of a central repository. With a local clone
of the central repository, each contributor can work on the project completely offline
on their computer. When changes are ready, contributors can push and merge them
with the central repository.

Git has immense support from the open-source community. It has quickly become one
of the most used version control systems for software development projects.

Apache Subversion (SVN), is a centralized version control system. When working

with this type of VCS, all project files exist on a central repository server. The central
repository has a “trunk,” which contains the current, stable version of the project.
When working on new features, contributors can make “branches” from the trunk.
Each branch is stored in a sub-folder on the central repository. When changes are
ready, a branch can be merged into the trunk.

SVN has a long and successful history and stands as a titan in the version control
world. It has widespread usage for enterprise projects, with features like granular
access control that make it excel in that context.

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 ***System Overview***

❖ System Components:

1. User Interface (Web/App): Users report bugs and track progress.

2. Database: Stores bug reports, status updates, and project data.
3. Bug Tracking Tool (JIRA/Trello/TestRail): Manages bug lifecycle.
4. Integration APIs: Connects with testing frameworks and version control.

❖ System Requirements:

1. User authentication and authorization.

2. Bug reporting and tracking functionality.
3. Integration with testing frameworks and version control.
4. Data analytics and reporting capabilities.

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 ***System Workflow***

1. Bug Reporting: Users submit bug reports via UI.

2. Bug Assignment: The project manager assigns bugs to developers.
3. Bug Resolution: Developers resolve bugs and update status.
4. Bug Verification: Testers verify resolved bugs.
5. Reporting and Analytics: The system generates metrics and insights.

Step 1: Bug Reporting

1. User submits bug report via web/app interface.
2. System assigns unique bug ID.
3. Bug report includes description, reproduction steps, and expected/actual results.

Step 2: Bug Assignment

1. The project manager reviews bug reports.
2. Assign bugs to the developer based on expertise/priority.
3. System sends notification to assigned developer.

Step 3: Bug Resolution

1. Developer resolves bug.
2. Updates bug status (e.g., “In Progress,” “Resolved”).
3. Adds resolution notes/comments.

Step 4: Bug Verification

1. Tester verifies resolved bug.
2. Updates bug status (e.g., “Verified,” “Closed”).
3. Provides feedback/comments.

Step 5: Reporting and Analytics

1. System generates metrics (e.g., resolution rate, time-to-resolve).
2. Provides insights into bug trends and developer performance.
3. Supports data-driven decision-making.

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Step 6: Integration
1. System integrates with testing frameworks (e.g., Selenium).
2. Integrates with version control systems (e.g., Git).
3. Enables seamless defect management.

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 ***Implementation***

❖ Front-end Development
1. Design user interface using HTML, CSS, and JavaScript.
2. Implement a bug reporting form with validation.
3. Create a dashboard for project managers and developers.

❖ Back-end Development
1. Choose a programming language (e.g., Python, Java).
2. Develop API for bug tracking tool integration.
3. Implement database schema for bug storage.

❖ Integration
1. Integrate with testing frameworks (e.g., Selenium).
2. Integrate with version control systems (e.g., Git).
3. Use APIs for seamless data exchange.

❖ Testing
1. Unit testing for individual components.
2. Integration testing for API and database interactions.
3. User acceptance testing (UAT) for overall functionality.

❖ Deployment
1. Choose a hosting platform (e.g., AWS, Google Cloud).
2. Configure server and database settings.
3. Deploy and monitor system performance.

❖ Timeline
1. Front-end development: 2 weeks
2. Back-end development: 3 weeks
3. Integration and testing: 2 weeks
4. Deployment: 1 week

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❖ Resources
1. Development team: 2-3 members
2. Testing tools: Selenium, Junit
3. Version control: Git

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 ***Advantages and Disadvantages ***

❖ Advantages:
1. Improved bug tracking and management.
2. Enhanced collaboration among developers and testers.
3. Automated reporting and analytics.
4. Streamlined defect management process.
5. Reduced bug resolution time.

❖ Disadvantages:
1. Initial setup and integration costs.
2. Training requirements for users.
3. Potential data security concerns.
4. System maintenance and updates
5. Compatibility issues with existing tools.

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 ***Conclusion***

In conclusion, this micro-project demonstrated the importance of effective bug reporting

and tracking systems in software development. By analyzing existing tools and
implementing an optimized system, developers can streamline defect management,
enhance collaboration, and reduce resolution time.

While challenges arise, careful planning and execution can mitigate disadvantages. The
findings and recommendations from this project can inform software development teams
seeking to improve their bug-tracking processes, ultimately contributing to higher-quality
software products.

Creating a bug report requires detailed bug tracking to resolve each & every bug
mentioned in the report. But it’s not easier for QA testers to find every bug in the
application without testing on real devices and see how end users are getting the
results.That’s why testers now prefer to use real cloud devices and browsers to test their
application because it provides real user conditions while testing so that every bug can be
found for the defect report.

Using tools like Browserstack Test Observability you can create, manage, and analyze
AI-driven test reports with its centralized dashboard. You can maintain a centralized
repository for all your manual and automated test execution results for better visibility
and control over the testing process.

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 ***Bibliography***

References:

o Atlassian. (2022). JIRA Documentation.

o Trello. (2022). Trello for Bug Tracking.
o TestRail. (2022). TestRail Documentation.
o IEEE Computer Society. (2019). Software Engineering Body of Knowledge.
o Sommerville, I. (2016). Software Engineering (10th ed.).
o Pressman, R. S. (2014). Software Engineering: A Practitioner’s Approach (8th
ed.).

Additional sources:

- Research articles on bug tracking and software development

- Industry reports on defect management best practices
- Online forums and communities (e.g., Stack Overflow, Reddit)

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 ***Weekly Progress Report***

Sr.no Week Activity Performed Sign of Date

guide
1 1st Discussion and finalization of topic

2 2nd Preparation and submission of

Abstract

3 3rd Literature Review

4 4th Collection of Data

5 5th Collection of Data

6 6th Discussion and outline of Content

7 7th Formulation of Content

8 8th Editing and proof Reading of

Content

9 9th Compilation of Report And

Presentation

10 10th Seminar

11 11th Viva voce

12 12th Final submission of Micro Project

Sign of teacher:- Sign of student

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 ***ANEEXURE II***

Evaluation Sheet for the Micro Project

Academic Year: 2024-2025 Name of Faculty: Prof. Akshay Sir

Course : Computer Engineering Course code: CO-5-I Semester: Fifth

Title of the project: Bug Reporting and Tracking System Analysis

CO’s addressed by Micro Project: Need of bug reporting and its tracking system analysis
for effective software development.
Major learning outcomes achieved by students by doing the project
• Practical outcome: I learn about Bug and Tracking System Analysis.
• Unit outcomes in Cognitive domain: Bug and Tracking System Analysis
Reporting get in it and outcomes best

Outcomes in Affective domain:

✓ Function as team member
✓ Follow Ethics
Comments/suggestions about team work /leadership/inter-personal communication (if
any)
Roll Name Marks out of Marks out of Total
no 6 for 4 for out of
performance in Performance in 10
group activity oral/
Presentation
54 Omkar Chandrakant
Jamdar

Name and Signature of faculty

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